Package: Orangutan 2.2.0

Orangutan: Automated Analysis of Phenotypic Data

Provides functions to analyze and visualize meristic, mensural, and categorical phenotypic data in a comparative framework. The package implements an automated pipeline that summarizes traits, identifies diagnostic variables among groups, performs multivariate and univariate statistical analyses, and produces publication-ready graphics. Earlier implementation are described in Torres (2025) <doi:10.64898/2025.12.18.695244> (v1.0.0) and Torres (2026) <doi:10.1002/ece3.73111> (v2.0.0).

Authors:Javier Torres [aut, cre]

Orangutan_2.2.0.tar.gz
Orangutan_2.2.0.zip(r-4.7-any)Orangutan_2.2.0.zip(r-4.6-any)Orangutan_2.2.0.zip(r-4.5-any)
Orangutan_2.2.0.tgz(r-4.6-any)Orangutan_2.2.0.tgz(r-4.5-any)
Orangutan_2.2.0.tar.gz(r-4.7-any)Orangutan_2.2.0.tar.gz(r-4.6-any)
Orangutan_2.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Orangutan/json (API)

# Install 'Orangutan' in R:
install.packages('Orangutan', repos = c('https://metalofis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/metalofis/orangutan-r/issues

On CRAN:

Conda:

3.90 score 2 stars 1 scripts 265 downloads 1 exports 74 dependencies

Last updated from:f85ce69143. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK432
linux-releaseOK128
macos-releaseOK196
macos-oldrelOK193
windows-develOK68
windows-releaseOK99
windows-oldrelOK86
wasm-releaseOK113

Exports:run_orangutan

Dependencies:ade4adegenetapebase64encbootbslibcachemcliclustercommonmarkcpp11digestdplyrdunn.testfarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvigraphisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemultcompViewnlmeotelpermutepillarpixmappkgconfigplyrpromisespurrrR6rappdirsRColorBrewerRcppRcppArmadilloreshape2rlangS7sassscalessegmentedseqinrshinysourcetoolsspstringistringrtibbletidyrtidyselectutf8vctrsveganviridisLitewithrxtable